自适应神经模糊推理系统,ANFIS
1)ANFIS自适应神经模糊推理系统
1.Identification and Simulation for Nonlinear System Based onANFIS;基于自适应神经模糊推理系统的非线性系统辨识与仿真
2.Nonlinear system identification based onANFIS;基于自适应神经模糊推理系统的非线性系统辨识
3.It is very hard to achieve an ideal calculating precision with traditional interpreting method of flowing unit, adaptive neural-fuzzy inference system (ANFIS) are used to establish a permeability model for high water cut oilfields, which is used for evaluating high water out reservoirs in Qiuling Oilfield with good effect.笔者提出利用流动单元、自适应神经模糊推理系统 (ANFIS)和多元统计分析理论建立高含水油田渗透率模型。
英文短句/例句
1.Flatness Pattern Recognition Based on Adaptive Neuro-Fuzzy Inference System基于自适应神经模糊推理系统的板形模式识别
2.Modeling of gyroscope based on adaptive neuro-fuzzy inference system基于自适应神经模糊推理系统的陀螺建模方法
3.Study on Vehicle Following Model Based on Adaptive Neural-fuzzy Inference System基于自适应神经模糊推理系统的跟驰模型研究
4.Identification and Simulation for Nonlinear System Based on ANFIS;基于自适应神经模糊推理系统的非线性系统辨识与仿真
5.Adaptive Neural-Fuzzy Inference and Its Application on the Ship Rudder Damping;自适应神经模糊推理系统及其在船舶舵阻横摇中的应用
6.Research and Application on Rough Set-based Adaptive Neuro Fuzzy Inference System;基于粗糙集的自适应神经模糊推理系统的研究和应用
7.Prediction of National Total Value of Industry Based on ANFIS;基于自适应神经模糊推理系统的国内工业总产值预测
8.Study of Initial Iterative Learning Control Strategy Based on Adaptive Neural-Fuzzy Inference System基于自适应神经模糊推理系统的迭代学习控制初始控制策略研究
9.Control of Magnetic Levitation Motor Based on Adaptive Neural-fuzzy Inference System基于自适应神经模糊推理系统的磁悬浮电动机控制
10.Research of AC Variable Frequency Speed Regulating Control System Based on Improved ANFIS基于改进算法的自适应神经模糊推理系统控制的交流变频调速系统的研究与仿真
11.Application of ANFIS(Adaptive Neuro-Fuzzy Inference System) in Bridge Condition State Evaluation;自适应神经—模糊推理系统在桥梁状态评估中的应用
12.Adaptive Neuro-fuzzy Reasoning Based on Weighted Fuzzy Rules;基于加权模糊规则的自适应神经—模糊推理
13.Application of adaptive network-based fuzzy inference system for load forecasting基于自适应神经网络模糊推理的负荷预测
14.Researches on Adaptive Fuzzy Neuron Model-Free Control Systems;自适应模糊单神经元非模型控制系统的研究
15.Application of neural network and fuzzy logic integration system to fault diagnosis of flood gate integrated automation神经网络-模糊推理协作系统在闸门综合自动化故障诊断中的应用
16.Research on adaptive ANS based on fuzzy inference基于模糊推理的适应性自动谈判系统研究
17.Design of a Nonlinear System Identifier Based on Adaptive Fuzzy Inference Modeling Method基于自适应模糊推理的非线性系统辨识器设计
18.Based on Adaptive Neuro-Fuzzy Inference Systems Control for Ship Steering;基于自适应神经模糊系统的船舶航向控制
相关短句/例句
adaptive neuro-fuzzy inference system自适应神经模糊推理系统
1.Application ofadaptive neuro-fuzzy inference system in anti-swing control to crane hook;应用于起重机稳钩控制的自适应神经模糊推理系统
2.Power load forecast based on principal component analysis andadaptive neuro-fuzzy inference system;基于主成分分析法和自适应神经模糊推理系统的电力负荷预测
3.Modeling of gyroscope based onadaptive neuro-fuzzy inference system基于自适应神经模糊推理系统的陀螺建模方法
3)adaptive neuro-fuzzy inference system(ANFIS)自适应神经模糊推理系统
1.The model is used to perform the numerical simulation of slope stable state,to acquire the data for adaptive neuro-fuzzy inference system(ANFIS) analysis.同时基于自适应神经模糊推理系统建立了岩体力学参数与边坡抗滑力和下滑力的映射模型,分析得到抗滑力和下滑力的统计特征。
2.Due to the variation of motor parameters and load of the AC motor vector control system, an adaptive neuro-fuzzy inference system(ANFIS)is designed to use at the speed adjustment of the AC motor vector control system.针对交流电动机矢量控制系统因电机参数变化和负载波动等因素而使性能变差的问题,设计了一种基于改进算法的自适应神经模糊推理系统(ANFIS)的交流电动机矢量控制系统速度调节器。
4)adaptive neural fuzzy inference system自适应神经模糊推理系统
1.Starting from the practical application of SOFC and by use of improvedadaptive neural fuzzy inference system(ANFIS) ,the authors establish electric characteristic model for SOFC stack under the conditions of stable loads and variable loads.文章从SOFC实际应用的角度出发,应用改进的自适应神经模糊推理系统(adaptive neural fuzzy inference system,ANFIS)对SOFC建立了负载稳定和负载变化2种情况下的电特性模型。
2.This paper does some study on a new method based on the principle ofadaptive neural fuzzy inference system.本文基于最近发展起来的自适应神经模糊推理系统的原理,研究了一种新的边坡稳定分析方法,对边坡工程的理论研究和工程实践具有一定的现实意义。
5)Adaptive Neural-Fuzzy Inference System(ANFIS)自适应神经模糊推理系统
6)ANFIS自适应神经-模糊推理系统
1.Based on the PSO algorithm characteristics of searching the parameter space concurrently and efficiently,the structure parameters of adaptive network-based fuzzy inference system(ANFIS) were tuned by the hybrid algorithm which combined particle swarm optimization with least-square method.根据粒子群算法对整个参数空间进行高效并行搜索的特点,提出了最小二乘法和粒子群优化算法相结合的混合学习算法对自适应神经-模糊推理系统网络结构参数进行优化设计。
延伸阅读
神经系统的进化昆虫的神经系统
